Article

Automated Echocardiographic Detection of Mitral Valve Prolapse and Mitral Regurgitation with Video-based Artificial Intelligence Algorithms

2026-03-02

Abstract excerpt

<h4>Aims</h4> We aimed to develop and evaluate fully automated artificial intelligence (AI) system. for detection of mitral valve prolapse (MVP) and mitral regurgitation (MR) from echocardiographic studies. <h4>Methods and Results</h4> We used a dataset of 24,869 echocardiographic studies from the University of California San Francisco (UCSF) to train a multi-view deep neural network (DNN) to detect MVP using ap...

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Literature Corpus work: 5633c0b4-e7c5-5254-8949-726b76f3c849
DOI: 10.64898/2026.02.26.26347229

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